Triple
T2422681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobruja |
E53452
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tulcea |
E68762
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tulcea | Statement: [Dobruja, containsCity, Tulcea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulcea Context triple: [Dobruja, containsCity, Tulcea]
-
A.
Tulcea
chosen
Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
-
B.
Iași
Iași is a major cultural, academic, and economic center in northeastern Romania, known for its historic universities, churches, and role as a former capital of the Principality of Moldavia.
-
C.
Galați
Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
-
D.
Constanța
Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
-
E.
Râmnicu Vâlcea
Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc972934481909e05bd6f31162f9d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbad005881909797050a2dfc3d38 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:42 p.m.